Safe ML Workshop

The objective of this workshop is to identify areas of research and their relative priorities with respect to DARPA's mission to make pivotal investments in breakthrough technologies for national security. The workshop will be organized into the following tracks:

Safety - machine learning algorithms which are:

shielded from attack during or after training to prevent forced mis-classifications or poor performance

encoded such that they cannot be learned by adversaries from captured hardware

safety of lifelong learning machines

Fairness - machine learning algorithms which fairly and appropriately represent groups in a population

Transparency - machine learning algorithms which provide output describing the steps leading to a specific decision

DARPA requires all attendees to complete and return either a U.S. Citizenship Verification form or a U.S. Permanent Resident and Foreign National Visit Request (DARPA 60). Click on the Citizenship Forms tab after registration is complete.

Where

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